Kevin Markham    Learn how to discretize or bin your continuous features using Python’s scikit learn, and find out why I usually don’t recommend doing so.

Kevin Markham    Are you trying to understand the differences between Jupyter Notebook, JupyterLab, IPython, Colab, and related terms You’re in the right place

Kevin Markham    Discover the benefits of virtual environments and learn the six conda commands you need to know to get started

Kevin Markham    What is the Anaconda distribution and why do people use it How is it related to conda Miniconda As a Data Scientist, which should I use

Kevin Markham    You’ve been tested for a disease and it came back positive. What’s the probability that you actually have the disease Let’s find out ï ï

Kevin Markham    Use Python to solve this classic probability puzzle that has stumped mathematicians and Nobel Prize winners

Kevin Markham    Working on a project for your Data Science portfolio Here are excellent sources for unique, high quality datasets

Kevin Markham    Learn how to use the power of GPT to interact with your private documents. All using Python, all private, all free

Kevin Markham    Learn how to use pandas, requests, and regular expressions regex to create a dataset of every Python version and its release date

Kevin Markham    I offer a discount on my courses up to to people in countries, to account for the differences in purchasing power across the globe.

Kevin Markham    Are you working with datetime data in pandas Learn how to become timezone aware so that your dataset cooperates with Daylight Saving Time

Kevin Markham    Learn the most useful keyboard shortcuts for Jupyter Notebook or Lab including hidden gems ’ so that you can speed up your workflow

Kevin Markham    Learn how to use Python’s f strings for substitution and formatting, and then combine those features to solve a real world pandas problem

Kevin Markham    Need help with your code Learn my step by step process for asking great Stack Overflow questions that will get answered quickly

Kevin Markham    You don’t need a programming background or a PhD in order to become a data scientist. But what do you need